// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#pragma once

#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/backends/gpu/gpu_context.h"
#include "paddle/phi/core/dense_tensor.h"
#ifdef PADDLE_WITH_XPU
#include "paddle/phi/backends/xpu/xpu_context.h"
#endif

namespace phi {
namespace funcs {

template <typename Context, typename RepeatsT>
class RepeatsTensor2IndexTensorFunctor {
 public:
  void operator()(const Context &ctx,
                  const DenseTensor &repeats,
                  DenseTensor *index);
};

#if defined(__NVCC__) || defined(__HIPCC__)
template <typename RepeatsT>
class RepeatsTensor2IndexTensorFunctor<phi::GPUContext, RepeatsT> {
 public:
  void operator()(const phi::GPUContext &ctx,
                  const DenseTensor &repeats,
                  DenseTensor *index);
};
#else
template <typename RepeatsT>
class RepeatsTensor2IndexTensorFunctor<phi::CPUContext, RepeatsT> {
 public:
  void operator()(const phi::CPUContext &ctx,
                  const DenseTensor &repeats,
                  DenseTensor *index);
};
#endif

#ifdef PADDLE_WITH_XPU
template <typename RepeatsT>
class RepeatsTensor2IndexTensorFunctor<phi::XPUContext, RepeatsT> {
 public:
  void operator()(const phi::XPUContext &ctx,
                  const DenseTensor &repeats,
                  DenseTensor *index);
};
#endif

}  // namespace funcs
}  // namespace phi
